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November 16, 2022
Nvidia is working with Microsoft in a bid to create what they say will be one of the most powerful AI supercomputers in the world.
The supercomputer will be powered by Microsoft Azure’s advanced supercomputing infrastructure and Nvidia GPUs. It will be used to train and deploy AI models.
The announcement comes in the same week that Cerebras Systems unveiled a monstrously powerful AI supercomputer, Andromeda.
Microsoft and Nvidia previously partnered to create MT-NLG, a 530-billion-parameter large language model. Now the pair is developing a supercomputer designed to run and scale such models.
A notable inclusion in their plans was that the platform would be used to research generative AI using models such as MT-NLG to create new text, code, digital images, video or audio.
The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software.
Also, Nvidia’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers.
“AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications,” said Manuvir Das, vice president of enterprise computing at Nvidia, in a statement. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.”
“Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Azure,” said Scott Guthrie, executive vice president of the cloud + AI group at Microsoft, in a statement.
Ben Wodecki is the Jr. Editor of AI Business, covering a wide range of AI content. Ben joined the team in March 2021 as assistant editor and was promoted to Jr. Editor. He has written for The New Statesman, Intellectual Property Magazine, and The Telegraph India, among others. He holds an MSc in Digital Journalism from Middlesex University.
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